Daily trade alerts for XHV

Intro

In the backtesting analysis, I have established several different profitable strategies for timing entry/exits. Visit the XHV page to see how these signals were identified.

1. Simple moving average (SMA)

2. Exponential moving average (EMA)

3. SMA crosses

4. EMA crosses

5. Directional movement index (DMI)

6. True strength index (TSI) BEST

7. Stochastic oscillator (stoch)

8. Double RSI

9. Donchian channel

10. Ensembl indicator

This script will examine the price action and these trade signals just before the daily close. If the signal is TRUE, it is bullish and if FALSE it is bearish. When there is a switch from bearish to bullish it is a buy signal and when it switches from bullish to bearish it is a sell signal. This HTML is updated just before the daily close each day, but push notifications for any trade signals are also sent by push bullet.

To receive these signals in real-time, subscribe to the following channels - it’s free for a limited time!

https://www.pushbullet.com/channel?tag=xhv_signal

If you need some help to design your own trading signals/strategies, I am happy to help for a fee. email me at mark.ziemann{αt}gmail.com for any enquiries/suggestions/feedback.

This report is distributed for FREE under the MIT licence, but if you find it useful, consider a small tip.

Reminder: this analysis is not financial advice.

suppressPackageStartupMessages({
  library("jsonlite")
  library("tidyverse")
  library("runner")
  library("quantmod")
  library("TTR")
  library("RPushbullet")
  library("kableExtra")
})

TESTING = FALSE

MYNOTE = NULL

mydate <- Sys.time()
attr(mydate, "tzone") <- "UTC"
mydate <- as.Date(mydate)

Get XHV parameters

params <- read.table("https://mdz-analytics.com/coins/XHV/XHV_dat.txt", header=TRUE)
params %>% kbl(caption="optimised backtested parameters") %>%  kable_styling("hover", full_width = F)

Get XHV price data

Obtaining XHV price data (daily) for the last 300 days and today’s price.

URL="https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?symbol=XHV&convert=USD&interval=daily&count=300"
download.file(URL,destfile="xhvdat.txt")
xhvdat <- fromJSON("xhvdat.txt")
price <- xhvdat$data$quotes
price <- data.frame(  as.Date(price$time_close) , price$quote$USD$high, price$quote$USD$low, price$quote$USD$close)
colnames(price) <- c("date","high","low","close")

URL="https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?symbol=XHV&convert=USD&interval=hourly&time_period=hourly&count=11"
download.file(URL,destfile="xhvdat.txt")
xhvdat <- fromJSON("xhvdat.txt")
price2 <- xhvdat$data$quotes
price2 <- data.frame( as.Date(price2$time_close) , price2$quote$USD$high, price2$quote$USD$low, price2$quote$USD$close,stringsAsFactors=FALSE)
colnames(price2) <- c("date","high","low","close")

high <- max(price2[,2])
low <-  min(price2[,3])
close <- price2[nrow(price2),4]

df <- data.frame(date=mydate,high=high,low=low,close=close,stringsAsFactors=FALSE)
price <- rbind(price,df)
tail(price) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

if ( TESTING == TRUE) {
  price[nrow(price),"Close"] <- price[nrow(price),"Close"] * 2
}

XHV SMA indicator

Now to determine whether XHV has crossed the SMA line.

price2 <- price

n <- as.numeric(params[params$indicator == "SMA",2])

price2$ma <- SMA(Cl(price2),n=n)
price2$signal <- price2$close > price2$ma
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_SMA=TRUE
} else {
  ens_SMA=FALSE
}

message(paste("XHV SMA signal:",xhv_signal))

## XHV SMA signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="XHV w SMA")
grid()
lines(price2$ma~ as.Date(price2$date) ,col="red")

if ( xhv_signal != "NONE") {
  MYNOTE <- paste("The XHV SMA signal is", xhv_signal,".")
}

XHV EMA indicator

Now to determine whether XHV has crossed the EMA line.

price2 <- price

n <- as.numeric(params[params$indicator == "EMA",2])

price2$ma <- EMA(Cl(price2),n=n)
price2$signal <- price2$close > price2$ma
tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
  xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_EMA=TRUE
} else {
  ens_EMA=FALSE
}

message(paste("XHV EMA signal:",xhv_signal))

## XHV EMA signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="XHV EMA")
grid()
lines(price2$ma~ as.Date(price2$date) ,col="red")

if ( xhv_signal != "NONE") {
  MYNOTE <- paste("The XHV EMA signal is", xhv_signal,".")
}

XHV SMA cross indicator

The SMA cross is a reasonably good strategy.

price2 <- price

n <- as.numeric(unlist(strsplit(params[params$indicator == "SMAcross",2],",")))
n1 <- n[1]
n2 <- n[2]

price2$ma1 <- SMA(Cl(price2),n=n1)
price2$ma2 <- SMA(Cl(price2),n=n2)

price2$signal <- price2$ma2 > price2$ma1
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_SMAcross=TRUE
} else {
  ens_SMAcross=FALSE
}

message(paste("XHV SMA cross signal:",xhv_signal))

## XHV SMA cross signal: NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="XHV w SMA cross")
grid()
lines(price2$ma1~ as.Date(price2$date) ,col="red")
lines(price2$ma2~ as.Date(price2$date) ,col="blue")

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE, "The XHV SMA cross signal is", xhv_signal,".")
}

XHV EMA cross indicator

The EMA cross is a moderately profitable strategy.

price2 <- price

n <- as.numeric(unlist(strsplit(params[params$indicator == "EMAcross",2],",")))
n1 <- n[1]
n2 <- n[2]

price2$ma1 <- EMA(Cl(price2),n=n1)
price2$ma2 <- EMA(Cl(price2),n=n2)

price2$signal <- price2$ma2 > price2$ma1
tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
  xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_EMAcross=TRUE
} else {
  ens_EMAcross=FALSE
}

message(paste("XHV EMA cross signal is",xhv_signal))

## XHV EMA cross signal is NONE

plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="XHV EMA cross")
grid()
lines(price2$ma1~ as.Date(price2$date) ,col="red")
lines(price2$ma2~ as.Date(price2$date) ,col="blue")

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE, "The XHV EMA cross signal is", xhv_signal,".")
}

XHV DMI indicator

Directional movement indicator is a good approach to identify trend changes.

n <- as.numeric(params[params$indicator == "DMI",2])

dmi.adx <- ADX(price[,c("high","low","close")],n=n)
price2 <- cbind(price,dmi.adx)
price2$signal <- dmi.adx[,1] > dmi.adx[,2]
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
  xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_DMI=TRUE
} else {
  ens_DMI=FALSE
}

message(paste("XHV DMI signal:",xhv_signal))

## XHV DMI signal: NONE

price2 <- as.data.frame(price2)
par(mfrow=c(2,1))
plot(price2$close~as.Date(price2$date),type="l",
  xlab="Date",ylab="price (USD)",main="XHV USD price")
grid()
plot(price2$DIp~as.Date(price2$date),type="l", col="blue",
  xlab="Date",ylab="price (USD)",main="XHV DMI")
grid()
lines(price2$DIn ~ as.Date(price2$date) ,col="red")

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"XHV DMI signal is", xhv_signal,".")
}

XHV TSI indicator

True Strength Indicator is one of the more profitable approaches. Its success lies in how it changes rapidly when momentum shifts. For most coins, this indicator performs “best” in backtesting analysis, which means it should carry relatively more weight than other indicators.

n <- as.numeric(unlist(strsplit(params[params$indicator == "TSI",2],",")))
n1 <- n[1]
n2 <- n[2]
ns <- n[3]

TSI <- function(x, n.first = 25, n.second = 13, n.signal = 7) {
  #True Strength Indicator
  #https://school.stockcharts.com/doku.php?id=technical_indicators:true_strength_index
  x <- try.xts(x, error = as.matrix)
  pc <- x - lag.xts(x, na.pad = T) #force lag.xts to get na padding
  dspc <- EMA(EMA(pc, n = n.first), n = n.second)
  dsapc <- EMA(EMA(abs(pc), n = n.first), n = n.second)

  tsi <- 100 * (dspc/dsapc)
  signal <- EMA(tsi, n = n.signal)
  r <- cbind(tsi, signal)
  r <- reclass(r, x)
  if (!is.null(dim(r))) colnames(r) <- c("tsi", "signal")
  return(r)
}

tsi <- TSI(price$close , n.first = n1, n.second = n2, n.signal = ns )
colnames(tsi) <- c("tsi","sig")

price2 <- cbind(price,tsi)
price2$signal <- tsi[,1] > tsi[,2]
tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
  xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_TSI=TRUE
} else {
  ens_TSI=FALSE
}

message(paste("XHV TSI signal:",xhv_signal))

## XHV TSI signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(tsi[,1] ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="TSI",main="TSI")
lines(as.Date(price2$date), tsi[,2]  , col="red"  )
grid()

par(mfrow=c(1,1))

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"XHV TSI signal is", xhv_signal,".")
}

XHV stochastic oscillator indicator

Similar to the TSI, the stoch can pinpoint early changes in momentum, however it may give many false positives.

n <- as.numeric(unlist(strsplit(params[params$indicator == "stoch",2],",")))
n1 <- n[1]
n2 <- n[2]
n3 <- n[3]

sto <- stoch(HLC(price), nFastK=n1 , nFastD=n2 , nSlowD=n2 , bounded = TRUE, smooth=n3)

price2 <- cbind(price,sto)
price2$signal <- price2$fastK > price2$fastD

tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
  xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_stoch=TRUE
} else {
  ens_stoch=FALSE
}

message(paste("XHV stoch signal:",xhv_signal))

## XHV stoch signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$fastK ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="index",main="stochastic oscillator")
lines(as.Date(price2$date), price2$fastD  , col="red"  )
grid()

par(mfrow=c(1,1))

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"XHV Stoch signal is", xhv_signal,".")
}

XHV double RSI indicator

Double RSI is simply two RSI lines.

n <- as.numeric(unlist(strsplit(params[params$indicator == "RSI2",2],",")))
n1 <- n[1]
n2 <- n[2]

rsi1 <- RSI(price$close,n=n1,maType=EMA)
rsi2 <- RSI(price$close,n=n2,maType=EMA)

price2 <- cbind(price,rsi1,rsi2)
price2$signal <- price2$rsi1 > price2$rsi2

tail(price2) %>% kbl(row.names = FALSE) %>% kable_styling("hover", full_width = F)

today_signal <- price2[nrow(price2),"signal"]
previous_signal <- price2[(nrow(price2)-1),"signal"]
if (today_signal != previous_signal ) {
  if ( (today_signal == TRUE ) & (previous_signal == FALSE ) ) {
    xhv_signal="BUY"
  }
  if ( (today_signal == FALSE ) & (previous_signal == TRUE ) ) {
    xhv_signal="SELL"
  }
} else {
  xhv_signal <- "NONE"
}

if (today_signal==TRUE) {
  ens_RSI2=TRUE
} else {
  ens_RSI2=FALSE
}

message(paste("XHV RSI signal:",xhv_signal))

## XHV RSI signal: NONE

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$rsi1 ~ as.Date(price2$date),type="l",col="blue",
  xlab="Date",ylab="index",main="double RSI")
lines(as.Date(price2$date), price2$rsi2  , col="red"  )
grid()

par(mfrow=c(2,1))
plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price")
grid()

plot(price2$rsi1/price2$rsi2 ~ as.Date(price2$date),type="l",
  xlab="Date",ylab="RSI ratio",main="double RSI")
grid()
abline(h=1,lty=2,lwd=2)

par(mfrow=c(1,1))

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"XHV RSI2 signal is", xhv_signal,".")
}

XHV Donchian channel indicator

n <- as.numeric(params[params$indicator == "DC",2])

price2 <- price[1:nrow(price)-1,]
dc <- DonchianChannel(price2$close,n=n)

price2$higher <- c(NA,sapply(2:nrow(dc),function(i) {
  dc[i,"high"] > dc[(i-1),"high"]
} ))
price2$lower <- c(NA,sapply(2:nrow(dc),function(i) {
  dc[i,"low"] < dc[(i-1),"low"]
} ))
price2 <- price2[price2$higher != price2$lower,]
# show changing rows only
price2 <- price2[c(NA,unlist(lapply(2:nrow(price2) , function(i) {
  price2$higher[i] != price2$higher[i-1]
}))),]
price2 <- price2[!is.na(price2$higher),]

previous_signal <- price2[nrow(price2),"higher"]

price2 <- price
dc <- DonchianChannel(price2$close,n=n)
colnames(dc) <- c("dchigh","dcmid","dclow")
price2 <- cbind(price2,dc)

tail(price2) %>% kbl(row.names = FALSE) %>%  kable_styling("hover", full_width = F)

xhv_signal="NONE"

# if we in negative territory, check whether time to buy
if ( previous_signal == FALSE ) {
  if ( price2[nrow(price2),"dchigh"] > price2[nrow(price2)-1,"dchigh"] ) {
    xhv_signal="BUY"
  }
}

# if we in positive territory, check whether time to sell
if ( previous_signal == TRUE ) {
  if ( price2[nrow(price2),"dclow"] < price2[nrow(price2)-1,"dclow"] ) {
    xhv_signal="SELL"
  }
}

if ( xhv_signal=="NONE" ) {
  today_signal=previous_signal
} else {
  if (xhv_signal=="BUY") { today_signal = TRUE }
  if (xhv_signal=="SELL") { today_signal = FALSE }
}

if (today_signal==TRUE) {
  ens_DC=TRUE
} else {
  ens_DC=FALSE
}

message(paste("XHV DC signal:",xhv_signal))

## XHV DC signal: NONE

plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price",lwd=2)
grid()

lines(price2$dclow~ as.Date(price2$date),lwd=1.5,col="red")
lines(price2$dchigh~ as.Date(price2$date),lwd=1.5,col="limegreen")

price2 <- tail(price2,100)

plot(price2$close ~ as.Date(price2$date),type="l",log="y",
  xlab="Date",ylab="price (USD)",main="USD price",lwd=2)
grid()

lines(price2$dclow~ as.Date(price2$date),lwd=1.5,col="red")
lines(price2$dcmid~ as.Date(price2$date),lwd=1.5,col="gray")
lines(price2$dchigh~ as.Date(price2$date),lwd=1.5,col="limegreen")

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"XHV Donchian channel signal is", xhv_signal,".")
}

XHV Ensemble indicator

This is a combination of a number of indicators.

ens <- params[params$indicator=="Ensemble","parameter"]
myrev <- intToUtf8(rev(utf8ToInt(ens)))
myrev <- unlist(strsplit(myrev,","))
# get thresh
n <- as.numeric(myrev[1])
myrev <- myrev[2:length(myrev)]
# get combination
combo <- sapply(myrev,function(s) { intToUtf8(rev(utf8ToInt(s))) })

message(paste("The combination is",paste(combo,collapse=" ")))

## The combination is stoch DMI

message(paste("The buy threshold is",n))

## The buy threshold is 1

indicators <- c("SMA"=ens_SMA,
  "EMA"=ens_EMA,
  "SMAcross"=ens_SMAcross,
  "EMAcross"=ens_EMAcross,
  "DMI"=ens_DMI,
  "TSI"=ens_TSI,
  "stoch"=ens_stoch,
  "RSI2"=ens_RSI2,
  "DC"=ens_DC)

indicators <- indicators[names(indicators) %in% combo]
message("State of the indicators:")

## State of the indicators:

indicators

##   DMI stoch 
## FALSE FALSE

today_count <- sum(indicators)
message(paste("today_count_XHV",today_count,sep="="))

## today_count_XHV=0

today_signal <- today_count>=n

prev_html <- readLines("https://mdz-analytics.com/coins/XHV/alerts_XHV.html")
prev_signal <- length(grep("XHV ensemble indicator is BULLISH",prev_html))>2

xhv_signal <- "NONE"

if ( today_signal != prev_signal ) {
  if ( today_signal == TRUE ) {
    xhv_signal="BUY"
  } else {
    xhv_signal="SELL"
  }
}

if (today_signal==TRUE) {
  message("XHV ensemble indicator is BULLISH")
} else {
  message("XHV ensemble indicator is BEARISH")
}

## XHV ensemble indicator is BEARISH

message(paste("XHV ENS signal:",xhv_signal))

## XHV ENS signal: NONE

if ( xhv_signal != "NONE") {
  MYNOTE <- paste(MYNOTE,"XHV Ensemble indicator is", xhv_signal,".")
}

Send a push notification.

MYNOTE

## NULL

if ( !is.null(MYNOTE) ) {
  MYNOTE <- paste(MYNOTE, ". Visit https://mdz-analytics.com/coins/XHV/alerts_XHV.html for the details")
  MYNOTE
  pbPost("note", "Crypto Alert", MYNOTE ,channel="xhv_signal")
}

Session information

For reproducibility

sessionInfo()

## R version 4.1.2 (2021-11-01)
## Platform: aarch64-unknown-linux-gnu (64-bit)
## Running under: Ubuntu 22.04.1 LTS
## 
## Matrix products: default
## BLAS:   /usr/lib/aarch64-linux-gnu/blas/libblas.so.3.10.0
## LAPACK: /usr/lib/aarch64-linux-gnu/lapack/liblapack.so.3.10.0
## 
## locale:
##  [1] LC_CTYPE=en_AU.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_AU.UTF-8        LC_COLLATE=en_AU.UTF-8    
##  [5] LC_MONETARY=en_AU.UTF-8    LC_MESSAGES=en_AU.UTF-8   
##  [7] LC_PAPER=en_AU.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C       
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] kableExtra_1.3.4  RPushbullet_0.3.4 quantmod_0.4.20   TTR_0.24.3       
##  [5] xts_0.12.1        zoo_1.8-10        runner_0.4.1      forcats_0.5.1    
##  [9] stringr_1.4.0     dplyr_1.0.9       purrr_0.3.4       readr_2.1.2      
## [13] tidyr_1.2.0       tibble_3.1.8      ggplot2_3.3.6     tidyverse_1.3.2  
## [17] jsonlite_1.8.0   
## 
## loaded via a namespace (and not attached):
##  [1] httr_1.4.4          sass_0.4.2          viridisLite_0.4.0  
##  [4] modelr_0.1.8        bslib_0.4.0         assertthat_0.2.1   
##  [7] highr_0.9           googlesheets4_1.0.1 cellranger_1.1.0   
## [10] yaml_2.3.5          pillar_1.8.0        backports_1.4.1    
## [13] lattice_0.20-45     glue_1.6.2          digest_0.6.29      
## [16] rvest_1.0.2         colorspace_2.0-3    htmltools_0.5.3    
## [19] pkgconfig_2.0.3     broom_1.0.0         haven_2.5.0        
## [22] bookdown_0.28       scales_1.2.0        webshot_0.5.3      
## [25] svglite_2.1.0       tzdb_0.3.0          googledrive_2.0.0  
## [28] generics_0.1.3      ellipsis_0.3.2      cachem_1.0.6       
## [31] withr_2.5.0         cli_3.3.0           magrittr_2.0.3     
## [34] crayon_1.5.1        readxl_1.4.1        evaluate_0.16      
## [37] fs_1.5.2            fansi_1.0.3         xml2_1.3.3         
## [40] tools_4.1.2         hms_1.1.1           gargle_1.2.0       
## [43] lifecycle_1.0.1     munsell_0.5.0       reprex_2.0.2       
## [46] compiler_4.1.2      jquerylib_0.1.4     systemfonts_1.0.4  
## [49] rlang_1.0.4         grid_4.1.2          rstudioapi_0.13    
## [52] rmarkdown_2.15      gtable_0.3.0        DBI_1.1.3          
## [55] curl_4.3.2          R6_2.5.1            lubridate_1.8.0    
## [58] knitr_1.39          fastmap_1.1.0       utf8_1.2.2         
## [61] stringi_1.7.8       parallel_4.1.2      rmdformats_1.0.4   
## [64] Rcpp_1.0.9          vctrs_0.4.1         dbplyr_2.2.1       
## [67] tidyselect_1.1.2    xfun_0.32